Examples of using Variance analysis in English and their translations into Portuguese
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Colloquial
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Official
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Medicine
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Financial
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Ecclesiastic
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Ecclesiastic
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Computer
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Official/political
cluster analysis and variance analysis.
Variance analysis was thus applied to the variables that met the premises of independence,
For the statistical analysis, Kruskal-Wallis statistical test and the Variance Analysis through Duncan Test,
The Variance Analysis method ANOVA for repeated measures was used to the variables stiffness
Variance analysis was applied to issues that satisfy the assumptions of independence,
To carry out statistic analysis the study used Variance Analysis Anova, Kruskal-Wallis Non-Parametric Test,
Finally, each experimental group was submitted to a one-way ANOVA variance analysis in order to verify in which session significant gain of KAE occurred concerning the pre-test measurement.
A variance analysis ANOVA was made using the individual values to check whether the analysed values are significant.
To compare the ten planning areas PA we used variance analysis followed by the Tukey test whenever the hypothesis of equality was rejected.
Comparisons among means of frequency scores were performed by variance analysis and F-statistics values were estimated for proportions,
Therefore, we performed variance analysis, comparing the scale scores
The F-statistics variance analysis was used to compare the mean values between the groups,
The variance analysis showed that only in the group using unilateral amplification we found significant interaural asymmetry.
According to the variance analysis revealed by the f test, significant results p.
The results were statistically analyzed through the Variance Analysis Test ANOVA, with a 5% significance level.
The results from the application of the Variance Analysis Test ANOVA with a 5% significance level are shown on Table 2.
The results from the Variance Analysis Test ANOVA with a 5% significance level are shown on Table 4.
The results of the Variance Analysis Test ANOVA with a 5% significance level are presented on Table 10.
According to the variance analysis, there was significant difference between the values ANOVA, F 15.30; Fcrit 6.94; p 0.01.
The variance analysis results show no significance for the other study variables in relation to SRC.